Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2013, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
extern string workdir;
//////////////////////////////////////////////////////
// MOG
namespace
{
IMPLEMENT_PARAM_CLASS(UseGray, bool)
IMPLEMENT_PARAM_CLASS(LearningRate, double)
}
PARAM_TEST_CASE(mog, UseGray, LearningRate, bool)
{
bool useGray;
double learningRate;
bool useRoi;
virtual void SetUp()
{
useGray = GET_PARAM(0);
learningRate = GET_PARAM(1);
useRoi = GET_PARAM(2);
}
};
TEST_P(mog, Update)
{
std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi";
cv::VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
cv::Mat frame;
cap >> frame;
ASSERT_FALSE(frame.empty());
cv::ocl::MOG mog;
cv::ocl::oclMat foreground = createMat_ocl(frame.size(), CV_8UC1, useRoi);
cv::BackgroundSubtractorMOG mog_gold;
cv::Mat foreground_gold;
for (int i = 0; i < 10; ++i)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
if (useGray)
{
cv::Mat temp;
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
cv::swap(temp, frame);
}
mog(loadMat_ocl(frame, useRoi), foreground, (float)learningRate);
mog_gold(frame, foreground_gold, learningRate);
EXPECT_MAT_NEAR(foreground_gold, foreground, 0.0);
}
}
INSTANTIATE_TEST_CASE_P(OCL_Video, mog, testing::Combine(
testing::Values(UseGray(false), UseGray(true)),
testing::Values(LearningRate(0.0), LearningRate(0.01)),
Values(true, false)));
//////////////////////////////////////////////////////
// MOG2
namespace
{
IMPLEMENT_PARAM_CLASS(DetectShadow, bool)
}
PARAM_TEST_CASE(mog2, UseGray, DetectShadow, bool)
{
bool useGray;
bool detectShadow;
bool useRoi;
virtual void SetUp()
{
useGray = GET_PARAM(0);
detectShadow = GET_PARAM(1);
useRoi = GET_PARAM(2);
}
};
TEST_P(mog2, Update)
{
std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi";
cv::VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
cv::Mat frame;
cap >> frame;
ASSERT_FALSE(frame.empty());
cv::ocl::MOG2 mog2;
mog2.bShadowDetection = detectShadow;
cv::ocl::oclMat foreground = createMat_ocl(frame.size(), CV_8UC1, useRoi);
cv::BackgroundSubtractorMOG2 mog2_gold;
mog2_gold.set("detectShadows", detectShadow);
cv::Mat foreground_gold;
for (int i = 0; i < 10; ++i)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
if (useGray)
{
cv::Mat temp;
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
cv::swap(temp, frame);
}
mog2(loadMat_ocl(frame, useRoi), foreground);
mog2_gold(frame, foreground_gold);
if (detectShadow)
EXPECT_MAT_SIMILAR(foreground_gold, foreground, 15e-3)
else
EXPECT_MAT_NEAR(foreground_gold, foreground, 0)
}
}
TEST_P(mog2, getBackgroundImage)
{
if (useGray)
return;
std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi";
cv::VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
cv::Mat frame;
cv::ocl::MOG2 mog2;
mog2.bShadowDetection = detectShadow;
cv::ocl::oclMat foreground;
cv::BackgroundSubtractorMOG2 mog2_gold;
mog2_gold.set("detectShadows", detectShadow);
cv::Mat foreground_gold;
for (int i = 0; i < 10; ++i)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
mog2(loadMat_ocl(frame, useRoi), foreground);
mog2_gold(frame, foreground_gold);
}
cv::ocl::oclMat background = createMat_ocl(frame.size(), frame.type(), useRoi);
mog2.getBackgroundImage(background);
cv::Mat background_gold;
mog2_gold.getBackgroundImage(background_gold);
EXPECT_MAT_NEAR(background_gold, background, 1.0);
}
INSTANTIATE_TEST_CASE_P(OCL_Video, mog2, testing::Combine(
testing::Values(UseGray(true), UseGray(false)),
testing::Values(DetectShadow(true), DetectShadow(false)),
Values(true, false)));
#endif